Maestría en Electrónica y Automatización

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    Aplicación android utilizando realidad aumentada aplicada al proceso de venta de muebles de relax de la fábrica Msoto
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Campos Freire, Celson Guillermo; Galarza Zambrano, Eddie Egberto
    The presented work is based on the design and implementation of an Android augmented reality application, focused on helping the community and construction professionals to preview indoor and outdoor furniture models in the home. Analyzing different design tools for augmented reality, evaluate the best options, then acquire formal knowledge and implement basic applications based on the objectives demonstrated in the document. A variety of interceptions implemented in mobile applications are also presented and operational variants of the developed mobile systems are described. The progress made is evaluated based on the knowledge gained and expectations regarding the use of AR technology; Several paths to explore in the short and medium term have been identified. The mobile application will solve the problem of crowding inside the MSOTO store in the salon furniture area to reduce crowds and provide customers with a satisfying shopping experience. The project is built using React Native, which allows integration with the ViroReact platform, allowing you to create virtual and augmented reality applications. By using this framework, it allows you to turn the app into one that works natively for Android and IOS devices. Next, an application for Android devices will appear that will allow us to choose furniture from a list of 10 models, which after choosing a model we will be able to show and interact with both the furniture and the permanent advice by the sales assistant of the MSOTO factory.
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    Desarrollo de una aplicación de realidad aumentada y visión artificial para el mantenimiento de ventiladores mecánicos
    (Universidad Técnica de Ambato. Facultad de Ingeniería en Sistemas, Electrónica e Industrial. Maestría en Electrónica y Automatización, 2022) Poveda Ocaña, Héctor Fabián; Galarza Zambrano, Eddie Egberto
    The present work shows the development of a maintenance system for the Savina 300 intensive care ventilator using augmented reality as a guide for the user. The identification algorithm has used a neural network trained with a 3D model of the respirator and the configuration of several relevant details for the training process. The objective execution platform is a mobile device with Android 11 operating system and motion sensors (gyroscope and accelerometer) that allows versatility, mobility and a low-cost implementation of the solution. The detection has been successful in execution times which allows an overlay of the 3D elements on top of the real fan. The proposed structure and work route offers robustness for the implementation of more maintenance tasks in the future. The validation has been carried out using the well-known SUS usability test in which the application reached a value of 82.5, which indicates that it is advisable to make improvements at the user interface and message display level in case of needing a better coefficient.